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Physics Informed Neural Networks for Control Oriented Thermal Modeling of Buildings
23 November 2021
Gargya Gokhale
Bert Claessens
Chris Develder
PINN
AI4CE
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Papers citing
"Physics Informed Neural Networks for Control Oriented Thermal Modeling of Buildings"
8 / 8 papers shown
Title
A Survey of Physics-Informed AI for Complex Urban Systems
En Xu
Huandong Wang
Yunke Zhang
Sibo Li
Yinzhou Tang
...
Yuming Lin
Yuan Yuan
Xiaochen Fan
Jingtao Ding
Yong Li
AI4CE
32
0
0
09 Jun 2025
Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective
Sizhuang He
Ananyae Kumar Bhartari
Bowen Li
P. Perdikaris
PINN
137
12
0
02 Feb 2025
Generalizable Temperature Nowcasting with Physics-Constrained RNNs for Predictive Maintenance of Wind Turbine Components
Johannes Exenberger
Matteo Di Salvo
Thomas Hirsch
F. Wotawa
Gerald Schweiger
AI4CE
60
0
0
05 Apr 2024
Distill2Explain: Differentiable decision trees for explainable reinforcement learning in energy application controllers
Gargya Gokhale
Seyed soroush Karimi madahi
Bert Claessens
Chris Develder
OffRL
61
3
0
18 Mar 2024
Demand response for residential building heating: Effective Monte Carlo Tree Search control based on physics-informed neural networks
Fabio Pavirani
Gargya Gokhale
Bert Claessens
Chris Develder
AI4CE
64
10
0
06 Dec 2023
Towards Scalable Physically Consistent Neural Networks: an Application to Data-driven Multi-zone Thermal Building Models
L. D. Natale
B. Svetozarevic
Philipp Heer
Colin N. Jones
AI4CE
107
30
0
23 Dec 2022
Physics-informed neural networks for PDE-constrained optimization and control
Jostein Barry-Straume
A. Sarshar
Andrey A. Popov
Adrian Sandu
PINN
AI4CE
79
15
0
06 May 2022
Physically Consistent Neural Networks for building thermal modeling: theory and analysis
L. D. Natale
B. Svetozarevic
Philipp Heer
Colin N. Jones
PINN
AI4CE
107
90
0
06 Dec 2021
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